Senior Machine Learning Engineer - (Remote - US)
Description For Senior Machine Learning Engineer - (Remote - US)
Jobgether, an AI-driven Talent Matching Platform, is seeking a Senior Machine Learning Engineer to join their team in a remote position based in the United States. This role focuses on building and maintaining core infrastructure for machine learning operations, from development to deployment. The ideal candidate will have 5+ years of experience in ML engineering or related fields, with strong expertise in AWS Sagemaker, Snowflake, Python, and SQL.
The position involves collaborating with cross-functional teams to optimize processes, manage large datasets, and ensure scalability of ML solutions. Key responsibilities include designing ML infrastructure, managing data pipelines, implementing cloud deployments, and optimizing model performance. The role requires hands-on experience with MLOps, monitoring systems, and familiarity with large language models.
Jobgether offers a comprehensive benefits package including medical, dental, and vision insurance, mental health support, flexible time off, 401(k) with matching, and various insurance coverages. The company promotes a diverse and inclusive workplace through Employee Resource Groups and provides all necessary work-from-home equipment.
This is an excellent opportunity for an experienced ML engineer looking to make significant contributions to innovative projects while working remotely. The position offers both technical challenges and the chance to shape the future of talent matching through AI-driven solutions.
Responsibilities For Senior Machine Learning Engineer - (Remote - US)
- Design, develop, and optimize the infrastructure for machine learning lifecycle
- Work with data engineers to curate high-quality datasets and manage data pipelines
- Deploy and migrate models to cloud environments using AWS tools
- Implement automation best practices for model deployment
- Collaborate with stakeholders to troubleshoot data-related technical issues
- Optimize model scoring pipelines for performance and latency
Requirements For Senior Machine Learning Engineer - (Remote - US)
- 5+ years of experience in machine learning engineering, data science, or data engineering
- 3+ years experience with MLOps using AWS Sagemaker and Snowflake
- Proficiency in Python and SQL, with AWS tools expertise
- Experience in building and optimizing data pipelines
- Knowledge of monitoring systems for model performance
- Experience with large language models (LLMs) and RAG applications preferred
- Strong foundation in model monitoring, containerization, and orchestration
Benefits For Senior Machine Learning Engineer - (Remote - US)
- Medical, dental, and vision insurance for you and dependents
- Mental health support through EAP and wellness platform
- Flexible time off including mental health days and volunteer days
- 14 paid company-wide holidays
- Paid parental leave for adoptive parents
- 401(k) plan with employer matching and immediate vesting
- Life insurance, accident insurance, disability coverage, and pet insurance
- Healthcare, flexible spending, and commuting expense accounts
- Work-from-home equipment provided
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